Nos validations

Predicting Multiple Sclerosis From Radiologically Isolated Syndrome Using Generative Artificial Intelligence. Christine Lebrun-Frenay, Felix Renard, Lydiane Mondot, Cassandre Landes-Chateau, Adeline Stewart, Mikael Cohen, Darin T. Okuda, Arnaud Attyé. PLOS Digit Health. 2026.

Evaluation of Brain Age on Magnetic Resonance Imaging Using Machine Learning Techniques in Patients With Hearing Loss. Raphaele Quatre, Ashley Baguant, Félix Renard, Giliane Lalami, et al. Ear Hear. 2026.

Piot, E, Renard, F, Attyé, A, and Krainik, A., 2025. Estimation of reference curves for brain atrophy and analysis of robustness to machine effects. Scientific reports, 15(1), p.34585.

Leveraging Digital Twins for Stratification of Patients with Breast Cancer and Treatment Optimization in Geriatric Oncology: Multivariate Clustering Analysis. Heudel P, Ahmed M, Renard F, Attyé A. JMIR Cancer. 2025

Training and validation of a deep learning U-net architecture general model for automated segmentation of inner ear from CT. Jonathan Lim, Aurore Abily, Douraïed Ben Salem, Loïc Gaillandre, Arnaud Attyé, Julien Ognard. Eur Radiol Exp 2024

Data-driven normative values based on generative manifold learning for quantitative MRI. Attyé A, Renard F, Calamante F et al. Scientific Reports 2024.

Intérêt de l’intelligence artificielle pour la détection des malformations labyrinthiques à partir de données d’imagerie médicale. Attyé A. La Lettre d’ORL 2024.

Improving rehabilitation of deaf patients by advanced imaging before cochlear implantation. Quatre R, Schmerber S, Attyé A. Journal of Neuroradiology 2024.

Digital twins in cancer research and treatment: A future for personalized medicine. Heudel PE, Renard F, Attyé A. Bull Cancer 2023

Piot E, Renard F and Attyé A, 2023. Les Jumeaux numériques en imagerie cérébrale. Pratique Neurologique-FMC, 14(3), pp.173-175.